Determining and storing at least one results set in a global ontology database for future use by an entity that subscribes to the global ontology database

ABSTRACT

Determining and storing at least one validated results set in a global ontology database for future use by an entity that subscribes to the global ontology database. If global ontology data is stored in a global ontology database, attempt to determine a mapping between first and second ontologies. If a mapping between the first and second ontologies can be determined from the global ontology data, the mapping is validated and the validated mapping is defined as a validated results set. If global ontology data is not stored in a global ontology database or a mapping between the first and second ontologies can not be determined from global ontology data stored in the global ontology database, the first and second ontologies are unified by determining a mapping between the first and second ontologies, the mapping is validated and the validated mapping is defined as a validated results set. The validated results set is stored in the global ontology database for future use by an entity that subscribes to the global ontology database.

BACKGROUND OF THE INVENTION

A domain of knowledge, e.g., customer and asset/financial informationfor banking, may be defined or organized in an ontology or format. Anontology may comprise concepts or classes, which may be organized in atree, wherein each concept having a parent is a species of its parent,e.g., customer (parent), business customer (first species) and privateindividual customer (second species). Each concept may be associatedwith one or more instances, e.g., an instance for “business customer”may be “Ace Computer Store” and an instance for “individual customer”may be “John Doe.” Each concept may also have one or more attributes.For example, the attributes for “individual customer” may comprise name,address, and social security number. Typically, different organizationsoperating within the same domain have different ontologies, i.e., eachontology comprises concepts and/or attributes defined differently, yetmay receive similar or substantially the same information. In order toenable two organizations or entities to interact with one another andexchange information, mappings between their different ontologies arerequired.

BRIEF SUMMARY OF THE INVENTION

The present invention provides a method, computer program product and adata processing system for determining and storing at least onevalidated results set in a global ontology database for future use by anentity that subscribes to the global ontology database. It is determinedif global ontology data is stored in a global ontology database. Ifglobal ontology data is stored in a global ontology database, attempt todetermine a mapping between first and second ontologies. If a mappingbetween the first and second ontologies can be determined from theglobal ontology data, the mapping is validated and the validated mappingis defined as a validated results set. If global ontology data is notstored in a global ontology database or a mapping between the first andsecond ontologies can not be determined from global ontology data storedin the global ontology database, the first and second ontologies areunified by determining a mapping between the first and secondontologies, the mapping is validated and the validated mapping isdefined as a validated results set. The validated results set is storedin the global ontology database for future use by an entity thatsubscribes to the global ontology database.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 is a pictorial representation of a system in which the presentinvention may be implemented;

FIG. 2 is an illustration of example first, second and third ontologies;

FIG. 3 is a flow chart which defines an algorithm to determine a mappingbetween first and second ontologies;

FIG. 4 is an illustration of a first example of global ontology data;

FIG. 5 is an illustration of a mapping between first and secondontologies determined based on mappings between first and thirdontologies and second and third ontologies;

FIG. 6 is an illustration of a second example of global ontology data;and

FIG. 7 is an illustration of a mapping between first and secondontologies determined based on a mapping between first and thirdontologies.

DETAILED DESCRIPTION OF THE INVENTION

As will be appreciated by one skilled in the art, the present inventionmay be embodied as a method, system, or computer program product.Accordingly, the present invention may take the form of an entirelyhardware embodiment, an entirely software embodiment (includingfirmware, resident software, micro-code, etc.) or an embodimentcombining software and hardware aspects that may all generally bereferred to herein as a “circuit,” “module” or “system.” Furthermore,the present invention may take the form of a computer program product ona computer-usable storage medium having computer-usable program codeembodied in the medium.

Any suitable computer usable or computer readable medium may beutilized. The computer-usable or computer-readable medium may be, forexample but not limited to, an electronic, magnetic, optical,electromagnetic, infrared, or semiconductor system, apparatus, device,or propagation medium. More specific examples (a non-exhaustive list) ofthe computer-readable medium would include the following: an electricalconnection having one or more wires, a portable computer diskette, ahard disk, a random access memory (RAM), a read-only memory (ROM), anerasable programmable read-only memory (EPROM or Flash memory), anoptical fiber, a portable compact disc read-only memory (CD-ROM), anoptical storage device, a transmission media such as those supportingthe Internet or an intranet, or a magnetic storage device. Note that thecomputer-usable or computer-readable medium could even be paper oranother suitable medium upon which the program is printed, as theprogram can be electronically captured, via, for instance, opticalscanning of the paper or other medium, then compiled, interpreted, orotherwise processed in a suitable manner, if necessary, and then storedin a computer memory. In the context of this document, a computer-usableor computer-readable medium may be any medium that can contain, store,communicate, propagate, or transport the program for use by or inconnection with the instruction execution system, apparatus, or device.The computer-usable medium may include a propagated data signal with thecomputer-usable program code embodied therewith, either in baseband oras part of a carrier wave. The computer usable program code may betransmitted using any appropriate medium, including but not limited tothe Internet, wireline, optical fiber cable, RF, etc.

Computer program code for carrying out operations of the presentinvention may be written in an object oriented programming language suchas Java, Smalltalk, C++ or the like. However, the computer program codefor carrying out operations of the present invention may also be writtenin conventional procedural programming languages, such as the “C”programming language or similar programming languages. The program codemay execute entirely on the user's computer, partly on the user'scomputer, as a stand-alone software package, partly on the user'scomputer and partly on a remote computer or entirely on the remotecomputer or server. In the latter scenario, the remote computer may beconnected to the user's computer through a local area network (LAN) or awide area network (WAN), or the connection may be made to an externalcomputer (for example, through the Internet using an Internet ServiceProvider).

The present invention is described below with reference to flowchartillustrations and/or block diagrams of methods, apparatus (systems) andcomputer program products according to embodiments of the invention. Itwill be understood that each block of the flowchart illustrations and/orblock diagrams, and combinations of blocks in the flowchartillustrations and/or block diagrams, can be implemented by computerprogram instructions. These computer program instructions may beprovided to a processor of a general purpose computer, special purposecomputer, or other programmable data processing apparatus to produce amachine, such that the instructions, which execute via the processor ofthe computer or other programmable data processing apparatus, createmeans for implementing the functions/acts specified in the flowchartand/or block diagram block or blocks.

These computer program instructions may also be stored in acomputer-readable memory that can direct a computer or otherprogrammable data processing apparatus to function in a particularmanner, such that the instructions stored in the computer-readablememory produce an article of manufacture including instruction meanswhich implement the function/act specified in the flowchart and/or blockdiagram block or blocks.

The computer program instructions may also be loaded onto a computer orother programmable data processing apparatus to cause a series ofoperational steps to be performed on the computer or other programmableapparatus to produce a computer implemented process such that theinstructions which execute on the computer or other programmableapparatus provide steps for implementing the functions/acts specified inthe flowchart and/or block diagram block or blocks.

With reference now to the figures, FIG. 1 depicts a pictorialrepresentation of a system 100 in which the present invention may beimplemented. In the illustrated embodiment, the system comprises globalontology data 10 stored in a global ontology database 110 and first,second and third ontologies 20, 30 and 40 stored respectively in first,second and third entity databases 120, 130 and 140. The databases 110,120, 130 and 140 may be stored in separate computer systems 210, 220,230 and 240, wherein each computer system may comprise one or moresuitable input devices, output devices, processors, memory, or othercomponents for receiving, processing, storing, and communicatinginformation. In the illustrated embodiment, each of the first, secondand third entity databases 120, 130 and 140 is associated with acorresponding entity, e.g., a financial institution, and isgeographically remote from the other entity databases as well as fromthe global ontology database 110. The global ontology database 110 maybe associated with a standards body or an industry organization withwhich the entities corresponding to the first, second and third entitydatabases 120, 130 and 140 are members or otherwise associated.

Each of the first, second and third ontologies 20, 30 and 40 may definea format or schema comprising one or more concepts or classes, whereinthe schema corresponds to a domain of knowledge, e.g., customer andasset/financial information for banking. Each concept may be organizedin a tree, wherein each concept having a parent is a species of itsparent, e.g., customer (parent), business customer (first species) andprivate individual customer (second species). Each concept may beassociated with one or more instances, e.g., an instance for “businesscustomer” may be “Ace Computer Store” and an instance for “individualcustomer” may be “John Doe.” Each concept may also have one or moreattributes. For example, the attributes for “individual customer” maycomprise name, address, and social security number. An ontology may alsodefine a set of relations associated with its concepts. For example,financial consultant A at Financial Institution 1 may be responsible fora predefined set of individual customers. Hence, a relation of“financial consultant/individual customer” might list all pairs of“financial consultant” and “individual customer.” Typically, differententities, e.g., banks, operating within the same domain of knowledge,e.g., customer and asset/financial information, have differentontologies, wherein each ontology comprises different concepts,attributes and/or relations. The term “elements” is used herein toencompass the terms “concepts,” “attributes,” “relations” and the like.

Example elements of the first, second and third ontologies 20, 30 and 40are illustrated in FIG. 2. The first ontology 20 corresponds toFinancial Institution 1, the second ontology 30 corresponds to FinancialInstitution 2 and the third ontology 40 corresponds to FinancialInstitution 3. Financial Institution 1 may have collected or otherwisedefined the information needed to complete an application or form havingat least a portion of the elements in the first ontology 20 for a firstcustomer, e.g., investor=IN1001, Name=John Doe. That information may bestored on the computer system 220, which system 220 is owned andcontrolled by Financial Institution 1. That information may also bestored on a data card 200, see FIG. 1, provided by Financial Institution1 to the first customer, such as for use by the first customer at akiosk owned and controlled by Financial Institution 1. The firstcustomer, after receiving the data card 200, may decide to open anaccount and/or apply for a credit card at Financial Institution 2. InFIG. 1, a kiosk 212 is illustrated, which is owned and controlled byFinancial Institution 2. The first customer, when opening an account orapplying for a credit card at Financial Institution 2, may input hisdata card 200 into the kiosk 212 to provide personal data/financial datato Financial Institution 2. In accordance with the present invention,Financial Institution 2 submits a request to the global ontologydatabase computer system 210 for a mapping between the first and secondontologies 20 and 30. Once the Financial Institution 2 receives themapping from the global ontology database computer system 210, itdownloads desired personal data/financial data contained on the datacard 200 for its use in processing the application from the firstcustomer.

With reference now to FIG. 3, a flowchart is provided which defines analgorithm used by the global ontology database computer system 210 todetermine a mapping between the first and second ontologies 20 and 30.In the illustrated embodiment, the computer system 230 is coupled to thekiosk 212 and the global ontology database computer system 210 eitherphysically or logically in any suitable manner, for example, using oneor more buses, local area networks (LANs), wide area networks (WAN), aglobal computer network such as the Internet, or any other wireline,optical apparatus, wireless apparatus, or other linking apparatus.

In step 302, the global ontology database computer system 210 determinesif global ontology data 10 is stored in the global ontology database110. If yes, and as discussed more explicitly below, the computer system210 attempts to determine a mapping between the first and secondontologies 20 and 30, see step 303. If, in step 302, it is determinedthat global ontology data 10 is not stored in the global ontologydatabase 110 or, in step 304, that a mapping between the first andsecond ontologies 20 and 30 can not be determined from the globalontology data 10, an ontology mapping algorithm is used by the globalontology database computer system 210 to map each relevant element inthe first ontology 20, i.e., the source ontology, with the most similarelement in the second ontology 30, see step 306. Ontology mappingalgorithms are well known to those skilled in the art. Because FinancialInstitution 1 and Financial Institution 2 are subscribers to the globalontology database, the global ontology database computer system 210 ispermitted access to the first and second ontologies 20 and 30 stored onthe Financial Institution 1 and Financial Institution 2 computer systems220 and 230.

The mapping between each relevant element in the first ontology 20 tothe most similar element in the second ontology 30, i.e., the results ofthe unifying of the first and second ontologies 20 and 30, is defined asan initial or proposed results set. The global ontology databasecomputer system 210 then forwards the initial results set to thecomputer system 230 owned and controlled by the Financial Institution 2.

Based on the initial results set, the computer system 230 transfersrelevant personal data/financial data from the data card 200 or othermemory device storing personal data/financial data for the firstcustomer in accordance with the first ontology 20 to complete anapplication or form defined in accordance with the second ontology 30.The computer system 230 then transfers its completed form to the kiosk212 for review by the first customer. The initial results set returnedby the global ontology database computer system 210 to the FinancialInstitution 2 computer system 230 may contain errors in some of themappings between elements of the first and second ontologies. Theseerrors will result in either zero or incorrect personal data/financialdata being input into corresponding entries on the form (created inaccordance with the second ontology 30) completed by the computer system230. Alternatively, the computer system 230 may forward the initialresults set to a computer system (not shown) provided within the kiosk212 such that the kiosk 212 performs the data transfer itself.

The kiosk 212 may display the completed form (created in accordance withthe second ontology 30) to the first customer for correction of anyerrors. The kiosk 212 may also display a form from the FinancialInstitution 1 including elements from the first ontology 20 completedwith personal data/financial data from the first customer. The completedFinancial Institution 1 form is downloaded from the data card 200. Thecustomer may correct the form defined in accordance with the secondontology 30 by typing in correct data and/or transferring data, e.g.,drag-and-drop data, from the form (stored on the data card 200 andcreated in accordance with the first ontology 20) used by FinancialInstitution 1 to the form used by Financial Institution 2 (created inaccordance with the second ontology 30). The computer system 230interprets or infers from these changes in personal data/financial datarevisions to the initial mapping generated by the ontology mappingalgorithm. After all changes have been effected by the owner of the datacard 200, the computer system 230 creates a validated, i.e., updated,verified and/or corrected, mapping between the first and secondontologies 20 and 30 and defines the updated, verified and/or correctedmapping as a validated final results set. The Financial Institution 2forwards the validated results set comprising the mapping of the firstand second ontologies 20 and 30 to the global ontology database computersystem 210 for storage and access for future use by any entity who is amember of the standards body or the industry organization havingownership and control over the global ontology database 110, see step308. The Financial Institution 2 may also forward to the global ontologydatabase computer system 210 the domain of knowledge corresponding toeach of the first and second ontologies 20 and 30. Typically, thepersonal data/financial data itself is not forwarded to the globalontology database 10.

It is noted that the global ontology database 110 dynamically “learns”each time a new mapping is provided to and stored within the globalontology database 110. As noted above, an initial mapping generated byan ontology mapping algorithm may be corrected based on informationprovided by a user, e.g., a customer. That is, corrections to errors inmappings between elements in the first ontology and elements in thesecond ontology contained in the initial results set may be inferredfrom corrections made by the user, e.g., a customer, to the formpresented to the user by Financial Institution 2. As noted above, theuser could be a customer. It is also contemplated that the user could bean employee of the entity, i.e., the financial institution. It isfurther contemplated that mappings between elements of the first andsecond ontologies 20 and 30 may be corrected by the entity by directlycomparing the mappings of elements in the first ontology withcorresponding elements in the second ontology such that the errors inthe mappings of those elements are not inferred but, instead, aredirectly reviewed and determined. By correcting the mapping errorsbetween the elements of the first and second ontologies 20 and 30,uncertainty in the initial results set is reduced, i.e., the accuracy ofthe mappings between the elements in the first and second ontologies isenhanced or validated.

A new mapping, when received by the global ontology database 110, isstored with other mappings already contained in the database 110. Forexample, a mapping between third and fourth ontologies may be generatedand stored in the database 110 already containing a mapping between thefirst and second ontologies 20 and 30. Hence, as new mappings areprovided to the global ontology database 110 over time, the number ofmappings between sets of ontologies grows within the database 110. Thisis advantageous because, as the global ontology database 110 grows withnew mappings, the probability that a desired mapping between twoontologies is contained in the database 110 increases. If a desiredmapping is contained within the global ontology database 110, the timeconsuming steps of using a mapping ontology algorithm, as noted above,to determine a desired mapping between two ontologies, along withsubsequent correction of errors in the mapping, may be avoided.

As will be discussed further below, the global ontology database 110also “learns” when a previously determined mapping between twoontologies is requested by an entity from the global ontology database110, wherein the entity receives that mapping and corrects or verifies,i.e., validates, mappings between elements in the ontologies that werenot previously validated so as to reduce uncertainty in those mappings;updates any mappings between elements within the ontologies that havechanged since those element mappings were originally validated; and/orcorrects any errors in the mappings of elements that were previously notcorrected when those mappings were previously validated. During eachiteration of use of a mapping between two ontologies stored in thedatabase 110 by an entity, wherein the entity validates, i.e., updates,verifies and/or corrects, the mappings between at least a portion of theelements of the ontologies, the database 110 is made more certain andaccurate when the updated, verified and/or corrected, i.e., validated,mapping of the ontologies is forwarded to the database 110.

As noted above, the mapping between the first and second ontologies 20and 30 may be validated or enhanced with each iteration of use of themapping by an entity receiving the mapping from the global ontologydatabase 110. For example, assume a first mapping between first andsecond ontologies 20 and 30 is created by an ontology mapping algorithmwhich maps first and second elements in the first ontology 20 tocorresponding first and second elements in the second ontology 30. Theinitial results set is provided by the global ontology database computersystem 210 to an entity, which uses the mapping to transfer personaldata/financial data between forms created in accordance with the firstand second ontologies. The personal data/financial data transferredbetween the forms, in this example, involves only first elements in thefirst and second ontologies 20 and 30. Hence, only corrections to themappings between the first elements in the first ontology 20 and firstelements in the second ontology 30 are inferred and effected. That is,only the mappings of the first elements in the first and secondontologies 20 and 30 are reviewed and validated by the entity. Theentity returns a validated, final first results set to the globalontology database computer system 210. However, because corrections tothe mappings between the second elements of the first ontology 20 andsecond elements of the second ontology 30 could not be inferred, themappings between those second elements remain uncertain, i.e., themappings had not yet been validated so as to be either verified orcorrected.

Mappings between elements in a first ontology and elements in a secondontology are considered to have been “validated” by an entity when theentity infers from changes made by a user to data transferred from aform corresponding to the first ontology elements to a formcorresponding to the second ontology elements revisions to incorrectmappings between the first and second ontology elements. Mappingsbetween elements of first and second ontologies are also considered tohave been “validated” by an entity when the entity directly checks forerrors in the mappings between the elements of the first and secondontologies.

At a later date, a second customer, having a data card from FinancialInstitution 1, makes a request to open an account at FinancialInstitution 2 and inserts his data card into the kiosk 212. His datacard contains a first portion of his/her personal data/financial datastored in accordance with the first elements in the first ontology and asecond portion of his/her personal data/financial data stored inaccordance with the second elements in the first ontology. The FinancialInstitution 2 retrieves the final first results set from the globalontology database 110, i.e., the previously determined mapping betweenthe first and second ontologies 20 and 30 stored in the database 110.Based on the final first results set, the computer system 230 transfersrelevant personal data/financial data from the data card 200 or othermemory device storing personal data/financial data for the secondcustomer in accordance with the first ontology 20 to complete anapplication or form defined in accordance with the second ontology 30.The computer system 230 then transfers its completed form to the kiosk212 for review by the second customer for correction of any errors. TheFinancial Institution 2 may also display a form from the FinancialInstitution 1 including elements from the first ontology 20 completedwith personal data/financial data from the second customer. The secondcustomer may correct the form defined in accordance with the secondontology 30 by typing in correct data and/or transferring data, e.g.,drag-and-drop data, from the form (stored on the data card and createdin accordance with the first ontology 20) used by Financial Institution1 to the form used by Financial Institution 2 (created in accordancewith the second ontology 30). The computer system 230 interprets orinfers from the changes in personal data/financial data revisions to thefinal first results set and makes corrections to the appropriatemappings between the elements of the first and second ontologies. Thecomputer system 230 also determines that any mappings between elementsof the first and second ontologies 20 and 30 that are not changed orcorrected are “verified.” By updating, verifying and/or correctingmappings between elements of the first and second ontologies 20 and 30,the computer system 230 “validates” the mapping between the first andsecond ontologies 20 and 30. The revisions to the final first resultsset may involve: correcting mappings between the second elements of thefirst and second ontologies 20 and 30, which mappings had not beenpreviously corrected and/or verified (i.e., validated); updatingmappings between first elements within the first and second ontologies20 and 30 that have changed since those mapping were previouslyvalidated; and/or correcting errors that were previously not correctedwhen the mappings of the first elements were initially validated. TheFinancial Institution 2 forwards the further enhanced or validated finalresults set to the global ontology database computer system 210 forstorage and access for future use by any entity who is a member of thestandards body or the industry organization having ownership and controlover the global ontology database 110. The updated, verified and/orcorrected, i.e., further enhanced or validated, first results setreplaces the prior first results set in the global ontology database110. During each iteration of use of a mapping between first and secondontologies 20 and 30 stored in the database 110 by an entity, whereinthe entity updates and/or corrects the mapping between the ontologies,the database 110 is made more certain and accurate when the updated,verified and/or corrected mapping, i.e., the further enhanced orvalidated mapping, is returned to the database 110.

It is contemplated that numerous entities may interact with the globalontology database 110 simultaneously. If two entities receive a mapping,for example, for the first and second ontologies 20 and 30 and createupdated mappings for those ontologies at substantially the same time,the global ontology database computer system 210 will merge the tworesults sets once they are forwarded to the system 210 so as to create asingle results set for the first and second ontologies 20 and 30. Forexample, the first entity may map first elements in the first ontology20 with first elements in the second ontology 30. The second entity maymap second elements in the first ontology 20 with second elements in thesecond ontology 30. The global ontology database computer system 210will create a single results set for the first and second ontologies 20and 30 comprising a mapping of the first and second elements of thefirst ontology 20 with the first and second elements of the secondontology 30.

As noted above with regard to step 303, if global ontology data 10 isstored in the global ontology database 110, the global ontology databasecomputer system 210 attempts to determine if a mapping between the firstand second ontologies 20 and 30 can be determined from the globalontology data 10. In attempting to determine if a mapping between thefirst and second ontologies 20 and 30 can be determined from the globalontology data 10, the computer system 210 first determines if the globalontology database 110 includes a results set comprising a direct mappingbetween the first and second ontologies 20 and 30. If a results set isstored in the global ontology database 110 comprising a direct mappingbetween the first and second ontologies 20 and 30, the computer system210 determines that a mapping between the first and second ontologies 20and 30 can be determined from the global ontology data 10, which is theresults set from the global ontology database 110 comprising a directmapping between the first and second ontologies 20 and 30. The globalontology database computer system 210 then forwards the results set tothe Financial Institution 2 computer system 230. The results set isequivalent to the final first results set retrieved by the computersystem 230 from the global ontology database computer system 210 in theexample set out above involving a second customer, having a data cardfrom Financial Institution 1, who makes a request to open an account atthe Financial Institution 2. Hence, the results set comprising a directmapping between the first and second ontologies 20 and 30 forwarded tothe Financial Institution 2 computer system 230 by the computer system210 may be used by the Financial Institution 2 computer system 230 intransferring personal data/financial data from a memory device storingpersonal data/financial data for a customer in accordance with the firstontology 20 to complete an application or form defined in accordancewith the second ontology 30. After the data transferred has beenverified and corrected by a user, corrections to the mappings betweenelements of the first and second ontologies 20 and 30 are inferred andthe further enhanced or validated mapping between the first and secondontologies 20 and 30, i.e., an updated and corrected results set, issent to the global ontology database computer system 210 for storage andaccess for future use by any entity who is a member of the standardsbody or the industry organization having ownership and control over theglobal ontology database 110, see step 312. The updated and corrected,i.e., further enhanced or validated, results set replaces the priorcorresponding results set in the global ontology database 110.

If the global ontology data 10 does not contain a direct mapping betweenthe ontologies 20 and 30, the computer system 210 may still be able todetermine a direct mapping from the mappings found in the database 110if any results sets contains a reference to either the first ontology 20or the second ontology. In this regard, the computer system 210determines if any results sets in the global ontology database 110contains a reference to the first ontology 20 or the second ontology 30.If so, the computer system 210 attempts to determine a mapping betweenthe first and second ontologies 20 and 30 from the global ontology data10. If the global ontology database 110 does not contain any resultssets involving the first ontology 20 or the second ontology 30, or thecomputer system 210 is unable to determine a mapping between the firstand second ontologies 20 and 30 from the global ontology data 10 eventhough at least one results set contains a reference to the firstontology 20 or the second ontology 30, the computer system 210determines it can not create a mapping between the first and secondontologies 20 and 30 based on the global ontology data 10 and uses anontology mapping algorithm, as discussed above, to create a mappingbetween the first and second ontologies 20 and 30, see steps 304 and306.

In FIG. 4, a first example of global ontology data 10 is illustrated.The data 10 comprises a first results set comprising a first mapping 10Abetween the first and third ontologies 20 and 40 and a second resultsset comprising a second mapping 10B between the second and thirdontologies 30 and 40. Hence, the global ontology data 10 does notcontain a direct mapping between the first and second ontologies 20 and30, but does contain a reference to both the first ontology 20 and thesecond ontology 30. The computer system 210, using the results sets 10Aand 10B from the global ontology database 110, attempts to determine amapping between the first and second ontologies 20 and 30 using aconventional logical deduction engine, i.e., a prolog engine. Asuccessful mapping 10C is illustrated in FIG. 5. In FIG. 5, “Investor”is equivalent or mapped to “Customer”; “Name” is equivalent or mapped to“Given Name, Surname”; “Porfolio ID” is equivalent or mapped to “TradingID”; “Liquid Assets” is equivalent or mapped to “Money Market”;“Corporate Ownership Assets” is equivalent or mapped to “Public CompanyStakes”; and “Government-Issued Assets” is equivalent or mapped to“T-Bills.” If the computer system 210 using a logical deduction engineis unable to determine a mapping between the first and second ontologies20 and 30, the computer system 210 determines a mapping between thefirst and second ontologies using an ontology mapping algorithm, asdiscussed above.

After determining the mapping 10C between the first and secondontologies 20 and 30, the computer system 210 forwards the results setto the Financial Institution 2 computer system 230, which will bereferred to as an initial results set. The computer system 230 uses theinitial results set to transfer relevant personal data/financial datafrom the first customer data card 200 or other memory device storingpersonal data/financial data for the first customer in accordance withthe first ontology 20 to complete an application or form defined inaccordance with the second ontology 30. The computer system 230 thentransfers its completed form to the kiosk 212 for review by the firstcustomer. The initial results set returned by the global ontologydatabase computer system 210 to the Financial Institution 2 computersystem 230 may contain errors in some of the mappings between elementsof the first and second ontologies. These errors will result in eitherzero or incorrect personal data/financial data being input intocorresponding entries on the form (created in accordance with the secondontology 30) completed by the computer system 230.

The kiosk 212 may display the completed form (created in accordance withthe second ontology 30) to the first customer for correction of anyerrors. The kiosk 212 may also display a form from the FinancialInstitution 1 including elements from the first ontology 20 completedwith personal data/financial data from the first customer. The completedFinancial Institution 1 form is downloaded from the data card 200. Thecustomer may correct the form defined in accordance with the secondontology 30 by typing in correct data and/or transferring data, e.g.,drag-and-drop data, from the form (stored on the data card 200 andcreated in accordance with the first ontology 20) used by FinancialInstitution 1 to the form used by Financial Institution 2 (created inaccordance with the second ontology 30). The computer system 230interprets or infers from these changes in personal data/financial datarevisions to the initial results set returned by the computer system210. After all changes have been effected by the owner of the data card200, the computer system 230 creates a validated results setcorresponding to an updated and/or corrected mapping between the firstand second ontologies 20 and 30. The Financial Institution 2 forwardsthe validated results set to the global ontology database computersystem 210 for storage and access for future use by any entity who is amember of the standards body or the industry organization havingownership and control over the global ontology database 110, see step308.

In FIG. 6, a second example of global ontology data 410 is illustrated.The data 410 comprises a results set comprising a mapping 410A between afirst ontology 420 and a third ontology 440. Hence, the global ontologydata 410 does not contain a direct mapping between the first and secondontologies 20 and 30, but does contain a reference to the first ontology420. The computer system 210, based on the results set 410A, attempts todetermine a mapping between the first and second ontologies 420 and 430using a conventional logical deduction engine, i.e., a prolog engine. Asuccessful mapping 410B is illustrated in FIG. 7. As is apparent from areview of FIGS. 6 and 7, the elements “Investor” and “Liquid Assets” arecommon to both ontologies 420 and 430. Hence, those elements are mappedto one another. The remaining elements in the second ontology 430 “FirstName, Last Name”; “Investment ID”; “Stocks”; and “Treasury Bonds” arefound in the third ontology 440, which are mapped to correspondingelements in the first ontology 420. Hence, the elements “First Name,Last Name”; “Investment ID”; “Stocks”; and “Treasury Bonds” found in thesecond ontology 430 can be mapped to corresponding elements in the firstontology 420 based on the mapping 410A. Accordingly, “First Name, LastName” is mapped to “Name”; “Investment ID” is mapped to “Portfolio ID”;“Stocks” is mapped to “Corporate Ownership Assets”; and “Treasury Bonds”is mapped to “Government-Issued Assets.” If the computer system 210using a logical deduction engine is unable to determine a mappingbetween the first and second ontologies 20 and 30, the computer system210 determines a mapping between the first and second ontologies usingan ontology mapping algorithm, as discussed above.

After determining the mapping 410B between the first and secondontologies 420 and 430, the computer system 210 forwards the results setto the Financial Institution 2 computer system 230, which will bereferred to as an initial results set. The computer system 230 uses theinitial results set to transfer relevant personal data/financial datafrom the first customer data card 200 or other memory device storingpersonal data/financial data for the first customer in accordance withthe first ontology 20 to complete an application or form defined inaccordance with the second ontology 30. The computer system 230 thentransfers its completed form to the kiosk 212 for review by the firstcustomer. The initial results set returned by the global ontologydatabase computer system 210 to the Financial Institution 2 computersystem 230 may contain errors in some of the mappings between elementsof the first and second ontologies. These errors will result in eitherzero or incorrect personal data/financial data being input intocorresponding entries on the form (created in accordance with the secondontology 30) completed by the computer system 230.

The kiosk 212 may display the completed form (created in accordance withthe second ontology 30) to the first customer for correction of anyerrors. The kiosk 212 may also display a form from the FinancialInstitution 1 including elements from the first ontology 20 completedwith personal data/financial data from the first customer. The completedFinancial Institution 1 form is downloaded from the data card 200. Thecustomer may correct the form defined in accordance with the secondontology 30 by typing in correct data and/or transferring data, e.g.,drag-and-drop data, from the form (stored on the data card 200 andcreated in accordance with the first ontology 20) used by FinancialInstitution 1 to the form used by Financial Institution 2 (created inaccordance with the second ontology 30). The computer system 230interprets or infers from these changes in personal data/financial datarevisions to the initial results set returned by the computer system210. After all changes have been effected by the owner of the data card200, the computer system 230 creates a validated results setcorresponding to an updated and/or corrected mapping between the firstand second ontologies 20 and 30. The Financial Institution 2 forwardsthe validated results set to the global ontology database computersystem 210 for storage and access for future use by any entity who is amember of the standards body or the industry organization havingownership and control over the global ontology database 110, see step308.

It is contemplated that a mapping may be effected in accordance with theflowchart illustrated in FIG. 3 for two ontologies corresponding todifferent domains of knowledge.

It is also contemplated that conventional security features may beprovided so as to authenticate a customer providing a data card to anentity such as a Financial Institution. Such security features includebiometrics, photo ID information stored on the card and displayed to anemployee at an entity such as a Financial Institution, a personalidentification number (PIN), and the like.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof code, which comprises one or more executable instructions forimplementing the specified logical function(s). It should also be notedthat, in some alternative implementations, the functions noted in theblock may occur out of the order noted in the figures. For example, twoblocks shown in succession may, in fact, be executed substantiallyconcurrently, or the blocks may sometimes be executed in the reverseorder, depending upon the functionality involved. It will also be notedthat each block of the block diagrams and/or flowchart illustration, andcombinations of blocks in the block diagrams and/or flowchartillustration, can be implemented by special purpose hardware-basedsystems that perform the specified functions or acts, or combinations ofspecial purpose hardware and computer instructions.

The terminology used herein is for the purpose of describing particularembodiments only and is not intended to be limiting of the invention. Asused herein, the singular forms “a”, “an” and “the” are intended toinclude the plural forms as well, unless the context clearly indicatesotherwise. It will be further understood that the terms “comprises”and/or “comprising,” when used in this specification, specify thepresence of stated features, integers, steps, operations, elements,and/or components, but do not preclude the presence or addition of oneor more other features, integers, steps, operations, elements,components, and/or groups thereof.

The corresponding structures, materials, acts, and equivalents of allmeans or step plus function elements in the claims below are intended toinclude any structure, material, or act for performing the function incombination with other claimed elements as specifically claimed. Thedescription of the present invention has been presented for purposes ofillustration and description, but is not intended to be exhaustive orlimited to the invention in the form disclosed. Many modifications andvariations will be apparent to those of ordinary skill in the artwithout departing from the scope and spirit of the invention. Theembodiment was chosen and described in order to best explain theprinciples of the invention and the practical application, and to enableothers of ordinary skill in the art to understand the invention forvarious embodiments with various modifications as are suited to theparticular use contemplated.

Having thus described the invention of the present application in detailand by reference to preferred embodiments thereof, it will be apparentthat modifications and variations are possible without departing fromthe scope of the invention defined in the appended claims.

What is claimed is:
 1. A method of storing at least one validatedresults set in a global ontology database for future use by an entitythat subscribes to said global ontology database comprising:determining, by a processor, if global ontology data is stored in aglobal ontology database; if global ontology data is stored in saidglobal ontology database, attempting to determine a mapping betweenfirst and second ontologies from said global ontology data; if a mappingbetween said first and second ontologies is determined from said globalontology data, validating said mapping between said first and secondontologies, and defining said validated mapping as a validated firstresults set; if global ontology data is not stored in said globalontology database or a mapping between said first and second ontologiesis not determined from said global ontology data stored in said globalontology database, unifying said first and second ontologies bydetermining a mapping between said first and second ontologies,validating said mapping between said first and second ontologies, anddefining said validated mapping as a validated first results set; ifglobal ontology data is stored in said global ontology database and saidglobal ontology data includes a results set comprising a mapping betweensaid first and second ontologies, determining the mapping between saidfirst and second ontologies by retrieving said mapping between saidfirst and second ontologies from said global ontology database,validating said mapping between said first and second ontologies, anddefining said validated mapping as a validated first results set;wherein said validating said mapping between said first and secondontologies comprises inferring corrections to mappings between elementsof said first and second ontologies from corrections made by a user todata; and storing said validated first results set in said globalontology database for future use by an entity that subscribes to saidglobal ontology database.
 2. A method as set forth in claim 1, furthercomprising: if global ontology data is stored in said global ontologydatabase, attempting to determine a mapping between third and fourthontologies from said global ontology data; if a mapping between saidthird and fourth ontologies can be determined from said global ontologydata, validating said mapping between said third and fourth ontologies,and defining said validated mapping as a validated second results set;if a mapping between said third and fourth ontologies is not determinedfrom said global ontology data stored in said global ontology database,unifying said third and fourth ontologies by determining a mappingbetween said third and fourth ontologies, validating said mappingbetween said third and fourth ontologies, and defining said validatedmapping as a validated second results set; providing said validatedsecond results set to said global ontology database; and storing saidvalidated second results set in said global ontology database.
 3. Themethod of claim 1, wherein if global ontology data is stored in saidglobal ontology database and said global ontology data comprises amapping between said first ontology and a third ontology and a mappingbetween said second ontology and said third ontology, determining amapping between said first and second ontologies from said mappings ofsaid first and third ontologies and said second and third ontologies. 4.The method of claim 1, wherein said validating said mapping between saidfirst and second ontologies comprises inferring corrections to mappingsbetween elements of said first and second ontologies from correctionsmade by a user to data transferred from a form generated in accordancewith said first ontology to a form generated in accordance with saidsecond ontology.
 5. The method of claim 1, further comprising: providingpersonal data arranged in accordance with said first ontology to anentity having control over a database created in accordance with saidsecond ontology; said entity verifying the identity of a customerproviding said personal data using a security feature; and transferringsaid personal data to said database created in accordance with saidsecond ontology.
 6. A method of storing at least one validated resultsset in a global ontology database for future use by an entity thatsubscribes to said global ontology database comprising: determining, bya processor, if global ontology data is stored in a global ontologydatabase; if global ontology data is stored in said global ontologydatabase, attempting to determine a mapping between first and secondontologies from said global ontology data; if a mapping between saidfirst and second ontologies is determined from said global ontologydata, validating said mapping between said first and second ontologies,and defining said validated mapping as a validated first results set; ifglobal ontology data is not stored in said global ontology database or amapping between said first and second ontologies is not determined fromsaid global ontology data stored in said global ontology database,unifying said first and second ontologies by determining a mappingbetween said first and second ontologies, validating said mappingbetween said first and second ontologies, and defining said validatedmapping as a validated first results set; if global ontology data isstored in said global ontology database and said global ontology dataincludes a results set comprising a mapping between said first andsecond ontologies, determining the mapping between said first and secondontologies by retrieving said mapping between said first and secondontologies from said global ontology database, validating said mappingbetween said first and second ontologies, and defining said validatedmapping as a validated first results set; wherein said validating saidmapping between said first and second ontologies comprises inferringupdates or corrections to mappings between elements in said first andsecond ontologies from corrections made by a user; and storing saidvalidated first results set in said global ontology database for futureuse by an entity that subscribes to said global ontology database.